Senior AI/ML Engineer

Description:
Remote

Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning solutions on AWS. The role includes LLM orchestration, RAG pipelines, vector database integration, and multi-agent systems. The engineer will build predictive models, apply document AI with transformers, and integrate models into secure production workflows. Collaboration with product managers, architects, and cross-functional teams will ensure solutions align with business goals. This position requires availability for meetings during Eastern Time business hours.

Due to federal security clearance requirements, applicant must be a United States Citizen or Permanent Resident with an active Public Trust clearance. This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $90.00 to $100.00/hr. w2

JN -052026-107129

Responsibilities:

• Engineer AI solutions using LLM providers and implement complex multi-agent workflows.
• Design and develop predictive models using regression, classification, clustering, and neural networks.
• Build RAG pipelines, integrate vector databases, and apply prompt engineering with LangChain or LangGraph.
• Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies.
• Apply software engineering best practices for maintainable, efficient, reliable, and secure code.
• Identify and resolve performance bottlenecks and security vulnerabilities.
• Implement CI/CD using Terraform, GitLab, and GitLab Runner with automated testing and security scans.
• Support production deployments, smoke testing, monitoring, root cause analysis, and issue resolution.
• Collaborate in Agile ceremonies, estimate work, and participate in reviews, demos, and retrospectives.

Experience Requirements:

• 10+ years in Software or IT with 7+ years in data analysis, AI engineering, and machine learning engineering.
• Hands-on experience with LLM orchestration, integration, and vLLM-based inference for document understanding.
• Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering.
• Strong Python skills with TensorFlow and PyTorch.
• Proven AWS expertise including Bedrock, Lambda, ECS, SQS, SNS; additional experience with S3, ELB/ALB, Aurora RDS preferred.
• Experience with image transformer models for document image understanding, including Microsoft DiT.
• Experience with self-supervised learning and leveraging pre-trained transformer backbones for document AI tasks.
• Integration of transformers into OCR pipelines and collaboration with OCR technologies.
• OpenCV-based image processing for document analysis.
• CI/CD with Terraform, GitLab, and GitLab Runner.
• Nice to have: Java, Spring Boot, Spring/JPA, Hibernate/MyBatis, JBoss/Fuse Camel/AMQ, SQL, Oracle, REST services.
• Familiarity with AI coding tools such as Claude and Codex.
• Strong problem solving and communication skills with ability to work independently.
• AWS certification required such as Solutions Architect Associate, Developer Associate, Machine Learning Engineer Associate, SysOps Admin Associate, or Cloud Practitioner.
• Public Trust eligibility and awareness of 3 to 6 week clearance timeline, including fingerprinting. Must have been a U.S. permanent resident for at least the last 2 years.

Education Requirements:

• BA/BS in Computer Science, Machine Learning, or related field with 10 years of experience, or MA/MS or higher with 8 years of experience.
• Additional experience does not substitute for the education requirement.